{"id":"https://openalex.org/W4390905354","doi":"https://doi.org/10.1109/access.2024.3354972","title":"LF-Transformer: Latent Factorizer Transformer for Tabular Learning","display_name":"LF-Transformer: Latent Factorizer Transformer for Tabular Learning","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390905354","doi":"https://doi.org/10.1109/access.2024.3354972"},"language":"en","primary_location":{"id":"doi:10.1109/access.2024.3354972","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3354972","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401112.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401112.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5093724023","display_name":"Kwangtek Na","orcid":"https://orcid.org/0000-0002-2529-4880"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Kwangtek Na","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea","Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759745","display_name":"Ju-Hong Lee","orcid":"https://orcid.org/0000-0003-3141-6917"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]},{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ju-Hong Lee","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea","Department of Intelligence and Information, Seoul National University, Seoul 08826, Republic of Korea","College of Business Administration, Seoul National University, Seoul 08826, Republic of Korea","Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]},{"raw_affiliation_string":"Department of Intelligence and Information, Seoul National University, Seoul 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"College of Business Administration, Seoul National University, Seoul 08826, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Inha University, Incheon 22212, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034219746","display_name":"Eunchan Kim","orcid":"https://orcid.org/0000-0002-3743-3550"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunchan Kim","raw_affiliation_strings":["Department of Intelligence and Information, Seoul National University, Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Intelligence and Information, Seoul National University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5093724023"],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.4436,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89600471,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"12","issue":null,"first_page":"10690","last_page":"10698"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.8019999861717224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.8019999861717224,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.7578999996185303,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.718999981880188,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6760863065719604},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6669424176216125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5784283876419067},{"id":"https://openalex.org/keywords/gradient-boosting","display_name":"Gradient boosting","score":0.5140217542648315},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4965417981147766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49309560656547546},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4453220069408417},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4304003119468689},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4284370541572571},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3876049816608429},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.334929883480072},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1174900233745575}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6760863065719604},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6669424176216125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5784283876419067},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5140217542648315},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4965417981147766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49309560656547546},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4453220069408417},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4304003119468689},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4284370541572571},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3876049816608429},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.334929883480072},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1174900233745575},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2024.3354972","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3354972","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401112.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:b95a69972eaa401ba4fc9ccfd1d45524","is_oa":true,"landing_page_url":"https://doaj.org/article/b95a69972eaa401ba4fc9ccfd1d45524","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 12, Pp 10690-10698 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2024.3354972","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2024.3354972","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10401112.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6399999856948853,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4390905354.pdf","grobid_xml":"https://content.openalex.org/works/W4390905354.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W1530210183","https://openalex.org/W1605688901","https://openalex.org/W2015627422","https://openalex.org/W2023320048","https://openalex.org/W2054141820","https://openalex.org/W2114515438","https://openalex.org/W2125621954","https://openalex.org/W2132862423","https://openalex.org/W2145862222","https://openalex.org/W2295598076","https://openalex.org/W2319270064","https://openalex.org/W2899743487","https://openalex.org/W2963542740","https://openalex.org/W2998108143","https://openalex.org/W3035422918","https://openalex.org/W3093579165","https://openalex.org/W3094502228","https://openalex.org/W3126865201","https://openalex.org/W3158303960","https://openalex.org/W3170720134","https://openalex.org/W3174086521","https://openalex.org/W3216660278","https://openalex.org/W4288108355","https://openalex.org/W4297478855","https://openalex.org/W4312815172","https://openalex.org/W4322762071","https://openalex.org/W6631787827","https://openalex.org/W6633301734","https://openalex.org/W6633499030","https://openalex.org/W6739901393","https://openalex.org/W6745609711","https://openalex.org/W6747597888","https://openalex.org/W6750729320","https://openalex.org/W6767303091","https://openalex.org/W6772853553","https://openalex.org/W6778883912","https://openalex.org/W6784333009","https://openalex.org/W6784614252","https://openalex.org/W6791955017","https://openalex.org/W6796927292","https://openalex.org/W6797867632"],"related_works":["https://openalex.org/W2967733078","https://openalex.org/W3204430031","https://openalex.org/W3137904399","https://openalex.org/W4310492845","https://openalex.org/W4386690025","https://openalex.org/W2885778889","https://openalex.org/W2766514146","https://openalex.org/W2885516856","https://openalex.org/W4296079469","https://openalex.org/W3208169454"],"abstract_inverted_index":{"The":[0],"field":[1],"of":[2,44,76],"deep":[3,37,162],"learning":[4,38,163],"for":[5,27,92,161],"tabular":[6,166],"datasets":[7,30,148],"has":[8,39,137],"made":[9],"significant":[10],"strides":[11],"in":[12,142,165,178],"recent":[13],"times.":[14],"Previously,":[15],"gradient":[16,192],"boosting":[17,193],"and":[18,74,112,144,174,180,194],"decision":[19,195],"tree":[20],"algorithms":[21,52,189],"had":[22],"been":[23],"the":[24,69,82,105,122,135,155],"go-to":[25],"options":[26],"processing":[28],"such":[29,190],"due":[31],"to":[32,72,80,98,170,187],"their":[33],"superior":[34,131,176],"performance.":[35],"However,":[36],"now":[40],"reached":[41],"a":[42,77,109,139,158,184],"level":[43],"development":[45],"where":[46],"it":[47,115,183],"can":[48],"compete":[49],"with":[50],"these":[51],"on":[53],"equal":[54],"footing.":[55],"Accordingly,":[56],"we":[57,150],"propose":[58],"latent":[59,84,110,172],"factorizer":[60],"transformer":[61,70],"(LF-Transformer).":[62],"Our":[63,117],"proposing":[64],"method,":[65],"LF-Transformer,":[66],"involves":[67,102],"applying":[68],"architecture":[71],"columns":[73],"rows":[75],"given":[78],"dataset":[79],"identify":[81,171],"attention":[83],"factor":[85],"matrix.":[86],"This":[87,94],"matrix":[88,99,107,111],"is":[89,96],"then":[90,113],"used":[91],"prediction.":[93],"process":[95],"akin":[97],"factorization,":[100],"which":[101],"breaking":[103],"down":[104],"original":[106],"into":[108],"reconstructing":[114],"again.":[116],"experimental":[118],"results":[119],"indicate":[120],"that":[121,149],"LF-Transformer":[123,156],"approach":[124,136],"outperforms":[125],"general":[126],"feature":[127,132],"embedding":[128],"methods,":[129],"providing":[130],"presentation.":[133],"Additionally,":[134],"demonstrated":[138],"relative":[140],"superiority":[141],"regression":[143,179],"classification":[145,181],"across":[146],"several":[147],"have":[151],"tested.":[152],"In":[153],"conclusion,":[154],"presents":[157],"promising":[159],"direction":[160],"approaches":[164],"datasets.":[167],"Its":[168],"ability":[169],"factors":[173],"provide":[175],"performance":[177],"makes":[182],"compelling":[185],"alternative":[186],"traditional":[188],"as":[191],"trees.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}